Clearwater Analytics is building its Generative AI engineering team, and this role sits at the center of that effort. You will design, implement, and ship LLM-powered agent tools, MCP integrations, and retrieval-augmented generation (RAG) systems that are already in production use and you will do it using AI-assisted development tools, including Claude Code, as a core part of your daily workflow. This is not exploratory AI work , it is applied engineering on real systems serving institutional investors globally. Fluency with coding assistants is not a perk here; it is a job requirement.
Responsibilities- Build and maintain LLM agent pipelines, MCP integrations, and retrieval-augmented generation (RAG) systems using Python (FastAPI, LangChain) and TypeScript/React.
- Use AI-assisted development tools, including Claude Code, as a primary part of your engineering workflow for code generation, debugging, and iteration.
- Collaborate with team members to optimize and improve existing AI-powered software applications.
- Participate actively in code reviews, giving and receiving clear, constructive feedback.
- Perform root-cause analyses for software issues and identify effective solutions.
- Translate loosely defined requirements into functioning, production-ready code.
- Assist in the creation of user stories and estimation of work for project planning.
- Suggest design improvements demonstrating a solid understanding of system architecture.
- Ensure software applications are scalable, reliable, and secure.
- Document software usage, implementation, architecture, design, and APIs.
- Write broad unit and integration tests consistently.
Required Skills- Fluency with AI-assisted development tools, Claude Code specifically ,as a daily engineering practice, not an occasional experiment.
- Hands-on experience building LLM agent tools, agentic workflows, MCP integrations, or retrieval-augmented generation (RAG) systems in a production environment.
- Production proficiency in Python 3.11 (FastAPI, LangChain) and TypeScript/React , these are the core languages of this role. Java-only backgrounds are not a fit.
- Solid fundamentals in data structures, algorithms, and object-oriented design.
- Enthusiasm for building in a fast-moving, AI-native SaaS environment.
- Strong teamwork and communication skills , written and verbal.
- Ability to manage own time and deliver results on time.
- Commitment to continuous learning and improvement.
- Exceptional analytical and problem-solving abilities.
- Strong attention to detail and documentation skills.
Education & Experience- Bachelor's degree in Computer Science or a related field.
- 3+ years of production software development experience
- At least 1 year of hands-on experience with LLM, agentic, or AI/ML systems in a production or near-production environment.
What We Offer- Competitive base salary and performance-based bonus.
- Comprehensive health, dental, and vision benefits.
- Flexible work arrangements, hybrid and remote options available.
- Access to cutting-edge AI tools and infrastructure as part of your day-to-day work.
- A collaborative, high-trust engineering culture that values craft, speed, and continuous learning.
